library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.2 ✔ readr 2.1.4
## ✔ forcats 1.0.0 ✔ stringr 1.5.0
## ✔ ggplot2 3.4.3 ✔ tibble 3.2.1
## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0
## ✔ purrr 1.0.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(ggplot2)
library(ggforce)
# Sample data
your_data <- data.frame(Category = c("A", "B", "C", "D"),
Value = c(20, 30, 40, 50),
Magnitude = c(5, 10, 20, 30))
# Calculate angles for pie slices
your_data <- your_data %>%
mutate(EndAngle = cumsum(Value / sum(Value) * 2 * pi),
StartAngle = lag(EndAngle, default = 0))
# Create a custom pie chart using ggforce
ggplot(your_data, aes(x = 1, y = 1, fill = Category)) +
geom_arc_bar(aes(x0 = 0, y0 = 0, r0 = 0, r = Magnitude, start = StartAngle, end = EndAngle), color = "white") +
coord_fixed(ratio = 1) +
theme_void() +
scale_fill_brewer(palette = "Set3")
library(ggplot2)
library(tidyverse)
insomnia_uncleaned <-read.csv("insomnia.csv")
glimpse(insomnia_uncleaned)
insomnia <- insomnia_uncleaned %>% # <-- pipe operator
select(Group, SubGroup, Sex, Age, ISI_total, PSQI_total, BDI_total, ASHS_total, ASHS_physiological, ASHS_cognitive,ASHS_emotional, ASHS_SleepEnvirnmont, ASHS_DaytimeSleep, ASHS_substances, ASHS_bedtimeRoutine, ASHS_sleepStability, ASHS_BedroomSharing, DBAS_total, FIRST_total, GCTI_total, NEO_neuroticism, NEO_extraversion, NEO_openness, NEO_agreeableness, NEO_Conscientiousness, ACE_tot, asq_home, asq_school, asq_attendance, asq_romantic, asq_peer, asq_teacher, asq_future, asq_leisure, asq_finance, asq_responsibility, cope_disengage_su, cope_growth, cope_disengage_mental, cope_emotions, cope_socialsupp_instr, cope_active, cope_denial, cope_religion, cope_humor, cope_disengage_emo, cope_restraint, cope_socialsupp_emo, cope_acccept, cope_suppression, cope_planning)
cleaned_insomnia <- na.omit(insomnia)
cleaned_insomnia$Sex <- factor(cleaned_insomnia$Sex, levels = c(0, 1), labels = c("Female", "Male"))
# Sort the data in descending order
your_data <- cleaned_insomnia %>%
select("asq_home", "asq_school") %>%
arrange(desc(Value))
# Create a vertical bar chart
ggplot(your_data, aes(x = reorder(Category, -Value), y = Value)) +
geom_bar(stat = "identity", fill = "blue") +
labs(x = "Category", y = "Value") +
coord_flip()
library(plotly)
##
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
##
## last_plot
## The following object is masked from 'package:stats':
##
## filter
## The following object is masked from 'package:graphics':
##
## layout
# Sample data
df <- data.frame(
Date = seq(as.Date("2023-01-01"), by = "days", length.out = 10),
Value = c(10, 12, 14, 18, 20, 25, 30, 28, 22, 19)
)
# Create a basic line chart
p <- plot_ly(df, x = ~Date, y = ~Value, type = 'scatter', mode = 'lines+markers')
# Find the row with the highest value
max_row <- df[which.max(df$Value), ]
# Add an annotation to highlight the highest point
p <- p %>%
add_annotations(
x = max_row$Date,
y = max_row$Value,
text = "Highest Point",
showarrow = TRUE,
arrowhead = 2
)
p <- p %>%
layout(
updatemenu = list(
type = "buttons",
showactive = FALSE,
buttons = list(
list(
label = "Highlight Highest Point",
method = "animate",
args = list("frames", list(list(data = list(z = df$Value, text = df$Date, name = "Data")))),
showactive = TRUE
)
)
)
)
p
## Warning: 'layout' objects don't have these attributes: 'updatemenu'
## Valid attributes include:
## '_deprecated', 'activeshape', 'annotations', 'autosize', 'autotypenumbers', 'calendar', 'clickmode', 'coloraxis', 'colorscale', 'colorway', 'computed', 'datarevision', 'dragmode', 'editrevision', 'editType', 'font', 'geo', 'grid', 'height', 'hidesources', 'hoverdistance', 'hoverlabel', 'hovermode', 'images', 'legend', 'mapbox', 'margin', 'meta', 'metasrc', 'modebar', 'newshape', 'paper_bgcolor', 'plot_bgcolor', 'polar', 'scene', 'selectdirection', 'selectionrevision', 'separators', 'shapes', 'showlegend', 'sliders', 'smith', 'spikedistance', 'template', 'ternary', 'title', 'transition', 'uirevision', 'uniformtext', 'updatemenus', 'width', 'xaxis', 'yaxis', 'barmode', 'bargap', 'mapType'
library(ggplot2)
library(gganimate)
library(transformr)
# Sample data
df <- data.frame(
Date = seq(as.Date("2023-01-01"), by = "days", length.out = 10),
Value = c(10, 12, 14, 18, 20, 25, 30, 28, 22, 19)
)
# Add a grouping variable
df <- df %>% mutate(Group = 1)
# Create a basic ggplot
p <- ggplot(df, aes(x = Date, y = Value, group = Group)) +
geom_line() +
labs(title = "Trend Over Time", x = "Date", y = "Value")
# Animate the plot
p_animated <- p +
transition_states(states = Date, transition_length = 2, state_length = 1) +
enter_fade() +
exit_fade() +
geom_text(
aes(label = ifelse(Value == max(Value), "Highest Point", "")),
vjust = -1,
hjust = 1
)
# Render and view the animation
animate(p_animated)
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
## `geom_line()`: Each group consists of only one observation.
## ℹ Do you need to adjust the group aesthetic?
